Mask What Matters: Saliency-Guided Video Self-Supervised Learning for Autonomous Driving
V-JEPA4A is introduced, a domain-specialized variant of V-JEPA for autonomous driving that is pre-trained on publicly available driving videos with a novel saliency-driven masking policy that preserves and predicts context according to semantic importance and temporal relevance, yielding more informative representation learning while retaining the efficiency of masked prediction.